Non-destructive near infrared spectroscopy externally validated using large number sets for creation of robust calibration models enabling prediction of apple firmness

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25271121%3A_____%2F22%3AN0000116" target="_blank" >RIV/25271121:_____/22:N0000116 - isvavai.cz</a>
Result on the web
<a href="https://journals.sagepub.com/doi/10.1177/09670335211054299" target="_blank" >https://journals.sagepub.com/doi/10.1177/09670335211054299</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/09670335211054299" target="_blank" >10.1177/09670335211054299</a>

Result language
angličtina
Original language name
Non-destructive near infrared spectroscopy externally validated using large number sets for creation of robust calibration models enabling prediction of apple firmness
Original language description
Non-invasive flesh firmness prediction using near infrared spectroscopy has been perfected and validated. Three novel calibration models were designed after three years of repeated large-scale sampling of stored commercial apple varieties ‘Gala’, ‘Red Jonaprince’, and ‘Jonagored’. The spectroscopic results were compared directly with those obtained using the invasive method. Increased accuracy of calibration models was achieved with the newly established data collection model. Our results exhibited coefficient of determination for calibration R2 and ratio of prediction to deviation (RPD) in excess of 0.91 and 2.3, respectively, thus enabling excellent prediction of flesh firmness while using the non-invasive and fast spectroscopic approach. The highest R2 was 0.943, RPD 2.612, root mean squared error of calibration 5.867 N, and root mean squared error of cross-validation (internal) 6.75 N were found for variety ‘Red Jonaprince’. Our complex long-term study provided excellent external validated calibration models and the approach can help developing calibration models for commercial sorting lines using near infrared spectroscopy.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry

Project
<a href="/en/project/LO1608" target="_blank" >LO1608: Research Pomological Centre</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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